Yun Wang

176 total papers · 2.8k total citations
111 papers, 1.9k citations indexed

About

Yun Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yun Wang has authored 111 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Biomedical Engineering and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yun Wang's work include Advanced X-ray and CT Imaging (21 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Cardiac Imaging and Diagnostics (13 papers). Yun Wang is often cited by papers focused on Advanced X-ray and CT Imaging (21 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Cardiac Imaging and Diagnostics (13 papers). Yun Wang collaborates with scholars based in China, United States and United Kingdom. Yun Wang's co-authors include Jianhua Zhou, Yini Huang, Xueyi Zheng, Yubo Liu, Fei Li, Rushuang Mao, Yixin Hu, Jinhua Yu, Yuanyuan Wang and Yao Zhao and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Yun Wang

103 papers receiving 1.9k citations

Hit Papers

Deep learning radiomics c... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yun Wang 796 468 326 268 266 111 1.9k
Lucian Beer 759 1.0× 277 0.6× 357 1.1× 331 1.2× 290 1.1× 81 1.9k
Christopher R. B. Merritt 769 1.0× 584 1.2× 713 2.2× 413 1.5× 137 0.5× 78 2.6k
Tsuyoshi Nakagawa 892 1.1× 234 0.5× 283 0.9× 481 1.8× 372 1.4× 161 2.7k
David S. Wang 566 0.7× 355 0.8× 323 1.0× 583 2.2× 420 1.6× 90 2.3k
Alexander Sauter 1.4k 1.8× 521 1.1× 404 1.2× 475 1.8× 159 0.6× 114 2.7k
Matthew Li 580 0.7× 344 0.7× 546 1.7× 376 1.4× 178 0.7× 95 2.6k
Ying Zhuge 602 0.8× 283 0.6× 594 1.8× 391 1.5× 269 1.0× 97 3.2k
Richard G. Abramson 1.3k 1.6× 299 0.6× 345 1.1× 337 1.3× 232 0.9× 101 2.6k
Nicholas B. Larson 499 0.6× 330 0.7× 724 2.2× 253 0.9× 134 0.5× 145 2.6k
Lisa C. Adams 721 0.9× 210 0.4× 258 0.8× 310 1.2× 304 1.1× 128 2.1k

Countries citing papers authored by Yun Wang

Since Specialization
Citations

This map shows the geographic impact of Yun Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Wang more than expected).

Fields of papers citing papers by Yun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yun Wang. The network helps show where Yun Wang may publish in the future.

Co-authorship network of co-authors of Yun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wang. A scholar is included among the top collaborators of Yun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun Wang. Yun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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